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Industry Use Case
Clustering on Locations Services from Vehicle Telematics Data for Service Center Location
This project introduces the learner to the concept of Supervised and Unsupervised Machine Learning algorithms.
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Difficulty: IntermediateFoundational knowledge or experience in statistics or analytics is recommended
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Duration: Approximately 3 hours
Course Overview
- Aftermarket services are a crucial part of any automobile industry. These services provide higher profit compared to selling the vehicle.
- These services include emergency vehicle assistance, on-road vehicle repair, warranty, service and maintenance.
- The use of telemetry data helps to combine vehicle groups and discover places where new service facilities and hotspot zones can be allocated.
- Learn how to apply clustering algorithms to cluster vehicle groups and find regions to allocate new service centers and hotspot regions for campaign execution.
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Skills you will learn
Associated Learning Tracks
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